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  1. Outputs

ICO Success Drivers: A Textual and Statistical Analysis

Academic Article
Publication Date:
2019
abstract:
Recently, tech-savvy start-ups and SMEs have begun to finance their business by raising funds through the issuance and sale of “branded” newly minted digital currencies. Since this alternative capital market is largely unregulated, investors need to separate the drivers of business success from those that indicate failure, or worse, fraudulent money-raising. Through standard logistic regression and extreme value logistic regression, the authors are able to shed light on the riskiest business projects. In particular, they find that the existence of a white paper, the number of advisors, the number of people on the team, and the presence of a Telegram chat are significant factors useful for discerning a successful capital raising from an unsuccessful one. Conversely, the non-existence of a company website and an inactive Twitter account are indicators of a possible scam.
Iris type:
1.1 Articolo in rivista
Keywords:
ICO, text analysis, scam
List of contributors:
Cerchiello, Paola; Toma, ANCA MIRELA; Tasca, Paolo
Authors of the University:
CERCHIELLO PAOLA
Handle:
https://iris.unipv.it/handle/11571/1261746
Published in:
THE JOURNAL OF ALTERNATIVE INVESTMENTS
Journal
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